Job description

This is a remote position and can be based anywhere in the United States.

Lenovo Infrastructure Solutions Group (ISG) is seeking an innovative and experienced AI Enterprise Architect with a strong focus on NVIDIA networking and Lenovo storage integration. This role will spearhead the development and optimization of next-generation AI infrastructure by seamlessly integrating advanced networking and storage solutions with AI and ML platforms. The ideal candidate will have deep expertise in high-performance networking, storage architectures, and AI workload requirements.

Key Responsibilities:

Define and implement enterprise networking and storage strategies tailored for AI/ML workloads.
Align architectural designs with Lenovo ISG’s broader technology and business objectives, ensuring scalability, performance, and cost-efficiency.
Architect and deploy high-performance networking solutions, leveraging NVIDIA networking technologies such as InfiniBand, GPUDirect RDMA, and Spectrum switches.
Design and optimize low-latency, high-bandwidth networks to support distributed AI training and inference workloads.
Collaborate with NVIDIA to evaluate and integrate cutting-edge networking features that enhance AI workload performance.
Develop scalable, high-performance storage solutions provided by Lenovo, optimized for AI data pipelines, including training datasets and real-time inference requirements.
Leverage Lenovo’s innovative storage architectures to enhance data throughput, reliability, and scalability.
Ensure seamless integration of Lenovo storage systems with AI/ML workflows, supporting multi-cloud and hybrid environments.
Evaluate emerging technologies in networking and storage for AI, including NVMe-over-Fabrics, advanced caching mechanisms, and edge-to-core data movement strategies.
Work closely with technology partners, including NVIDIA for networking and Lenovo storage teams, to adopt state-of-the-art solutions and align with industry best practices.
Collaborate with data science, IT, and engineering teams to design end-to-end AI/ML pipelines with optimized networking and storage components.
Provide architectural guidance on workload placement, data locality, and resource allocation.
Establish standards and best practices for networking and storage in AI environments, ensuring security, reliability, and compliance.
Monitor and optimize resource usage, ensuring cost-effective deployment.
Serve as a thought leader within Lenovo ISG, advocating for advanced NVIDIA networking and Lenovo storage technologies in AI initiatives.
Lead internal initiatives on integrating NVIDIA networking and Lenovo storage solutions into AI workloads.

Basic Qualifications:

Bachelor’s degree in Computer Science, Electrical Engineering, or related field.
At least 8 years in enterprise architecture, networking, or storage solutions.
Prior experience in integrating NVIDIA networking technologies and Lenovo storage solutions with AI/ML platforms is highly preferred.
Proven experience in designing and implementing networking and storage solutions for AI/ML environments.
Deep knowledge of NVIDIA networking technologies, including InfiniBand, GPUDirect RDMA, and Magnum IO.
Expertise in storage architectures such as NVMe, object storage, and distributed file systems.
Familiarity with AI/ML frameworks (e.g., TensorFlow, PyTorch) and data orchestration platforms.

Preferred Qualifications:

Master's degree in Computer Science, Electrical Engineering, or related field.
Strategic thinker with a focus on optimizing performance and scalability.
Excellent leadership and communication skills, capable of driving cross-functional collaboration.
Strong analytical and problem-solving skills to address complex infrastructure challenges.
Passion for AI innovation and infrastructure excellence.
Ability to stay ahead of emerging trends in networking and storage for AI workloads.
Business acumen to align technical designs with organizational objectives.

Required profile